Dr. Guoqiang Tang

Education

PhD, 2019: Hydrology, Tsinghua University, Beijing, China.

BSc, 2014: Hydraulic engineering, Tsinghua University, Beijing, China.

Experience

2019-present: Postdoctoral Fellow, University of Saskatchewan, Canmore, Alberta, CANADA.

Short Bio

Guoqiang Tang is a Postdoctoral Fellow at the University of Saskatchewan at Canmore. Guoqiang’s research focuses in three main areas: (i) retrieving and evaluating satellite precipitation; (ii) applying machine learning techniques in estimating and fusing hydrological research; and (iii) analyzing hydrological processes using remote sensing data. Guoqiang has authored or co-authored over 30 journal articles in leading international journals such as Remote sensing of Environment, Water Resources Research and Journal of Hydrology.

Publications

Li Hongyi, Zhong Xiaoyong, Ma Ziqiang, Tang Guoqiang, Ding Leiding, Sui Xinxin, Xu Jintao, He Yu, 2020: Climate Changes and Their Teleconnections With ENSO Over the Last 55 Years 1961–2015 in Floods-Dominated Basin Jiangxi Province China. Earth and Space Science, doi: 10.1029/2019EA001047

Li Zhi, Chen Mengye, Gao Shang, Hong Zhen, Tang Guoqiang, Wen Yixin, Gourley Jonathan J., Hong Yang, 2020: Cross-Examination of Similarity Difference and Deficiency of Gauge Radar and Satellite Precipitation Measuring Uncertainties for Extreme Events Using Conventional Metrics and Multiplicative Triple Collocation. Remote Sensing, doi: 10.3390/rs12081258

Lu Xinyu, Tang Guoqiang, Wang Xiuqin, Liu Yan, Wei Ming, Zhang Yingxin, 2020: The Development of a Two-Step Merging and Downscaling Method for Satellite Precipitation Products. Remote Sensing, doi: 10.3390/rs12030398

Tang Guoqiang, Clark Martyn P., Papalexiou Simon Michael, Ma Ziqiang, Hong Yang, 2020: Have satellite precipitation products improved over last two decades? A comprehensive comparison of GPM IMERG with nine satellite and reanalysis datasets. Remote Sensing of Environment, doi: 10.1016/j.rse.2020.111697

Lu Xinyu, Tang Guoqiang, Wang Xiuqin, Liu Yan, Jia Lihong, Xie Guohui, Li Shuai, Zhang Yingxin, 2019: Correcting GPM IMERG precipitation data over the Tianshan Mountains in China. Journal of Hydrology, doi: 10.1016/j.jhydrol.2019.06.019

Xu Jintao, Ma Ziqiang, Tang Guoqiang, Ji Qingwen, Min Xiaoxiao, Wan Wei, Shi Zhou, 2019: Quantitative Evaluations and Error Source Analysis of Fengyun-2-Based and GPM-Based Precipitation Products over Mainland China in Summer 2018. Remote Sensing, doi: 10.3390/rs11242992

Lu Xinyu, Wei Ming, Tang Guoqiang, Zhang Yingxin, 2018: Evaluation and correction of the TRMM 3B43V7 and GPM 3IMERGM satellite precipitation products by use of ground-based data over Xinjiang China. Environmental Earth Sciences, doi: 10.1007/s12665-018-7378-6

Chen Cheng, Chen Qiuwen, Duan Zheng, Zhang Jianyun, Mo Kangle, Li Zhe, Tang Guoqiang, 2018: Multiscale Comparative Evaluation of the GPM IMERG v5 and TRMM 3B42 v7 Precipitation Products from 2015 to 2017 over a Climate Transition Area of China. Remote Sensing, doi: 10.3390/rs10060944

Cui Yaokui, Chen Xi, Gao Jinyu, Yan Binyan, Tang Guoqiang, Hong Yang, 2018: Global water cycle and remote sensing big data: overview challenge and opportunities. Big Earth Data, doi: 10.1080/20964471.2018.1548052

Li Changming, Tang Guoqiang, Hong Yang, 2018: Cross-evaluation of ground-based multi-satellite and reanalysis precipitation products: Applicability of the Triple Collocation method across Mainland China. Journal of Hydrology, doi: 10.1016/j.jhydrol.2018.04.039

Lu Xinyu, Tang Guoqiang, Wei Ming, Yang Lianmei, Zhang Yingxin, 2018: Evaluation of multi-satellite precipitation products in Xinjiang China. International Journal of Remote Sensing, doi: 10.1080/01431161.2018.1471246

Ma Yingzhao, Yang Yuan, Han Zhongying, Tang Guoqiang, Maguire Lane, Chu Zhigang, Hong Yang, 2018: Comprehensive evaluation of Ensemble Multi-Satellite Precipitation Dataset using the Dynamic Bayesian Model Averaging scheme over the Tibetan plateau. Journal of Hydrology, doi: 10.1016/j.jhydrol.2017.11.050

Ma Yingzhao, Hong Yang, Chen Yang, Yang Yuan, Tang Guoqiang, Yao Yunjun, Long Di, Li Changmin, Han Zhongying, Liu Ronghua, 2018: Performance of Optimally Merged Multisatellite Precipitation Products Using the Dynamic Bayesian Model Averaging Scheme Over the Tibetan Plateau. Journal of Geophysical Research-Atmospheres, doi: 10.1002/2017jd026648

Tang Guoqiang, Behrangi Ali, Long Di, Li Changming, Hong Yang, 2018: Accounting for spatiotemporal errors of gauges: A critical step to evaluate gridded precipitation products. Journal of Hydrology, doi: 10.1016/j.jhydrol.2018.02.057

Tang Guoqiang, Long Di, Hong Yang, Gao Jinyu, Wan Wei, 2018: Documentation of multifactorial relationships between precipitation and topography of the Tibetan Plateau using spaceborne precipitation radars. Remote Sensing of Environment, doi: 10.1016/j.rse.2018.02.007

Tang Guoqiang, Behrangi Ali, Ma Ziqiang, Long Di, Hong Yang, 2018: Downscaling of ERA-Interim Temperature in the Contiguous United States and Its Implications for Rain–Snow Partitioning. Journal of Hydrometeorology, doi: 10.1175/jhm-d-18-0041.1

Tang G. Q., Long D., Behrangi A., Wang C. G., Hong Y., 2018: Exploring Deep Neural Networks to Retrieve Rain and Snow in high Latitudes Using Multisensor and reanalysis Data. Water Resour Res, doi: 10.1029/2018wr023830

Wang Cunguang, Tang Guoqiang, Han Zhongying, Guo Xiaolin, Hong Yang, 2018: Global intercomparison and regional evaluation of GPM IMERG Version-03 Version-04 and its latest Version-05 precipitation products: Similarity difference and improvements. Journal of Hydrology, doi: 10.1016/j.jhydrol.2018.06.064

Gao Zhen, Long Di, Tang Guoqiang, Zeng Chao, Huang Jiesheng, Hong Yang, 2017: Assessing the potential of satellite-based precipitation estimates for flood frequency analysis in ungauged or poorly gauged tributaries of China’s Yangtze River basin. Journal of Hydrology, doi: 10.1016/j.jhydrol.2017.05.025

Gao Jinyu, Tang Guoqiang, Hong Yang, 2017: Similarities and Improvements of GPM Dual-Frequency Precipitation Radar (DPR) upon TRMM Precipitation Radar (PR) in Global Precipitation Rate Estimation Type Classification and Vertical Profiling. Remote Sensing, doi: 10.3390/rs9111142

Kan Guangyuan and 10 others, 2017: An Improved Coupled Routing and Excess Storage (CREST) Distributed Hydrological Model and Its Verification in Ganjiang River Basin China. Water, doi: 10.3390/w9110904

Li Na, Tang Guoqiang, Zhao Ping, Hong Yang, Gou Yabin, Yang Kai, 2017: Statistical assessment and hydrological utility of the latest multi-satellite precipitation analysis IMERG in Ganjiang River basin. Atmospheric Research, doi: 10.1016/j.atmosres.2016.07.020

Tang Guoqiang, Zeng Ziyue, Ma Meihong, Liu Ronghua, Wen Yixin, Hong Yang, 2017: Can Near-Real-Time Satellite Precipitation Products Capture Rainstorms and Guide Flood Warning for the 2016 Summer in South China?. Ieee Geoscience and Remote Sensing Letters, doi: 10.1109/lgrs.2017.2702137

Tang Guoqiang, Wen Yixin, Gao Jinyu, Long Di, Ma Yingzhao, Wan Wei, Hong Yang, 2017: Similarities and differences between three coexisting spaceborne radars in global rainfall and snowfall estimation. Water Resour Res, doi: 10.1002/2016wr019961

Yang Yuan, Tang Guoqiang, Lei Xiaohui, Hong Yang, Yang Na, 2017: Can Satellite Precipitation Products Estimate Probable Maximum Precipitation: A Comparative Investigation with Gauge Data in the Dadu River Basin. Remote Sensing, doi: 10.3390/rs10010041

Zeng Ziyue, Tang Guoqiang, Hong Yang, Zeng Chao, Yang Yuan, 2017: Development of an NRCS curve number global dataset using the latest geospatial remote sensing data for worldwide hydrologic applications. Remote Sensing Letters, doi: 10.1080/2150704x.2017.1297544

Zhong Lingzhi, Yang Rongfang, Chen Lin, Wen Yixin, Li Ruiyi, Tang Guoqiang, Hong Yang, 2017: Combined Space and Ground Radars for Improving Quantitative Precipitation Estimations in the Eastern Downstream Region of the Tibetan Plateau. Part I: Variability in the Vertical Structure of Precipitation in ChuanYu Analyzed from Long-Term Spaceborne Observations by TRMM PR. Journal of Applied Meteorology and Climatology, doi: 10.1175/jamc-d-16-0382.1

Ma Yingzhao, Tang Guoqiang, Long Di, Yong Bin, Zhong Lingzhi, Wan Wei, Hong Yang, 2016: Similarity and Error Intercomparison of the GPM and Its Predecessor-TRMM Multisatellite Precipitation Analysis Using the Best Available Hourly Gauge Network over the Tibetan Plateau. Remote Sensing, doi: 10.3390/rs8070569

Tang Guoqiang, Ma Yingzhao, Long Di, Zhong Lingzhi, Hong Yang, 2016: Evaluation of GPM Day-1 IMERG and TMPA Version-7 legacy products over Mainland China at multiple spatiotemporal scales. Journal of Hydrology, doi: 10.1016/j.jhydrol.2015.12.008

Tang Guoqiang, Zeng Ziyue, Long Di, Guo Xiaolin, Yong Bin, Zhang Weihua, Hong Yang, 2016: Statistical and Hydrological Comparisons between TRMM and GPM Level-3 Products over a Midlatitude Basin: Is Day-1 IMERG a Good Successor for TMPA 3B42V7?. Journal of Hydrometeorology, doi: 10.1175/jhm-d-15-0059.1

Tang Guoqiang, Long Di, Hong Yang, 2016: Systematic Anomalies Over Inland Water Bodies of High Mountain Asia in TRMM Precipitation Estimates: No Longer a Problem for the GPM Era?. Ieee Geoscience and Remote Sensing Letters, doi: 10.1109/lgrs.2016.2606769

Zeng Z., Tang G., Long D., Zeng C., Ma M., Hong Y., Xu H., Xu J., 2016: A cascading flash flood guidance system: development and application in Yunnan Province China. Natural Hazards, doi: 10.1007/s11069-016-2535-2

Zhang Yu, Hong Yang, Wang Xuguang, Gourley Jonathan J., Xue Xianwu, Saharia Manabendra, Ni Guangheng, Wang Gaili, Huang Yong, Chen Sheng, Tang Guoqiang, 2015: Hydrometeorological Analysis and Remote Sensing of Extremes: Was the July 2012 Beijing Flood Event Detectable and Predictable by Global Satellite Observing and Global Weather Modeling Systems?. Journal of Hydrometeorology, doi: 10.1175/jhm-d-14-0048.1

Chen S. and 10 others, 2014: Evaluation of high-resolution precipitation estimates from satellites during July 2012 Beijing flood event using dense rain gauge observations. Plos One, doi: 10.1371/journal.pone.0089681

Wan Zhanming, Hong Yang, Khan Sadiq, Gourley Jonathan, Flamig Zachary, Kirschbaum Dalia, Tang Guoqiang, 2014: A cloud-based global flood disaster community cyber-infrastructure: Development and demonstration. Environmental Modelling & Software, doi: 10.1016/j.envsoft.2014.04.007

Datasets

Tang Guoqiang, Clark Martyn, Newman Andrew, Wood Andrew, Papalexiou Simon, Vionnet Vincent, Whitfield Paul, 2020: SCDNA: a serially complete precipitation and temperature dataset for North America from 1979 to 2018. doi: zenodo.org/record/3735534

Dr. Guoqiang Tang

Postdoctoral Fellow, Centre for Hydrology, Coldwater Laboratory

About

We seek to improve understanding and predictions of hydrological processes at scales from hillslopes to continents

Our Home

Coldwater Laboratory
1151 Sidney Street, unit 116
Canmore, Alberta, T1W 3G1, CANADA